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tlo1216

espn-fantasy-mcp

by tlo1216

Get Boxscore

get_boxscore
Read-onlyIdempotent

Get per-player actual stats for both teams in each matchup for a scoring period. Use box scores to review fantasy performance.

Instructions

Per-player actual stats for a scoring period, for both teams in each matchup.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sportNoffl (football), fba (basketball), or flb (baseball). Defaults to ESPN_SPORT.ffl
seasonNoSeason year. Defaults to ESPN_SEASON.
league_idNoESPN league id. Defaults to ESPN_LEAGUE_ID.123456
scoring_period_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint and idempotentHint, so the description correctly adds scope semantics: 'actual stats' distinguishes from projected stats and 'both teams in each matchup' clarifies coverage. No contradiction exists between the description and annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single front-loaded sentence with no filler: the key concepts 'per-player actual stats', 'scoring period', and 'both teams in each matchup' appear in order of importance.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema, strong annotations, and defaults documented in the input schema, the description covers the essential scope. A small gap is not naming an alternative for projected stats, but that is not required for invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 75% (sport, season, and league_id are documented), and the description reinforces scoring_period_id via 'scoring period'. It does not add new meaning beyond the schema, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies the resource as per-player actual stats for a scoring period and scopes it to both teams in each matchup, which distinguishes it from get_matchups (matchup-level data) and get_player (single-player data). It lacks an explicit verb like 'Retrieve', but the meaning is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'actual stats' implies use when real boxscore data is needed rather than projections or rosters, but no sibling tools or when-not-to-use conditions are mentioned. The usage context is inferable from the description but not explicitly stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.